Senior Data Engineer – ML OpsData Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.Join us to do the best work of your career and make a profound social impact as a Senior Data Engineer – ML Ops on our Data Engineering team in Brazil (Remote).What you’ll achieveThis position will merge DevOps, software engineering, data science, and data engineering to deploy machine learning models that can optimize business and customer experiences at scale. You will use your technical knowledge and software development to build technology-centric solutions that accelerate the development of Artificial Intelligence and Machine Learning capabilities across the company.You will take out the debate of what can be launched and when. The models that we build are essential ingredients to supply our customers & sales with relevant product recommendations and creative breakthroughs to our business. You & your team are critical for our success!You will:Develop high availability and highly scalable applications which will be used by both internal and external customers.Feature engineering: Stitching together and aggregation of multiple large data sets working with the data scientist to a desired format. You will need to optimize both queries and architecture to support big data sets.Data pipelining: Once the initial dataset are prepared, it is normally run through a further pipeline to prepare it for modelling. Here you will create features that make Machine Learning/Artificial algorithms work (e.g. translating text into category variables). Expect to work with datasets with billions of rows and thousands of columns.Adhere to DevSecOps practices to protect underlying data/infrastructure assets.Utilize a range of applicable technologies across the entire Model Lifecycle (e.g., data science packages, statistical and machine learning techniques, distributed computing, Big Data, CI/CD).Take the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential RequirementsAdvanced English level to work with a global teamRelevant experience in Linux/Cloud environment, scripting languages as Python and Shell and data Engineers with experience in Airflow, Python, Bash, SQLExperience designing and developing APIs in Python (FastAPI, Flask or Django) and with Python testing frameworks such as unittest or pytestExcellent knowledge of software development and software testing methodologies along with configuration management practices in Linux-based environments and demonstrated Experience writing and maintaining high quality code as well as documentationExperience working with Docker, Kubernetes in a microservices architecture.Desirable Requirements:Agile practices for highly scalable systems and experience working with message brokers (RabbitMQ, Kafka) is an advantageExperience in Machine Learning lifecycleHere’s our story; now tell us yoursDell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life — while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.Application closing date: 15/01/2023Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.#LI-Remote
